The architecture instrument by hsnlabs to design technical feasibility, operational ontologies over legacy data, human-in-the-loop sign-off, and auditable P&L return before writing the first line of code.
Click on either track below to open the corresponding interactive canvas in full screen.
Enterprise AI pilots fail when they start with model selection without separating deterministic rules from probabilistic inference. The canvas structures ten blocks across three contiguous zones of executive decision-making.
Block 1 occupies one quarter of the board to dissect the core process bottleneck or the senior specialist's scope. Block 2 isolates pure deterministic code from AI reasoning, and Block 3 anticipates internal political friction.
The agent never runs raw SQL against production databases. It interacts exclusively with the Operational Ontology via typed objects and actions, operating under strict human-in-the-loop thresholds and OpenTelemetry tracing.
Replaces vague productivity promises with auditable Dual Bleed math across operational hours and idle software licenses, establishing an objective Day-5 acceptance gate to unlock production rollout.
